Gender: Female 
Age: 45-54
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Married 
First language: English 
Religion: Nothing 
Education: High school or below
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 6
Home: Own 
Employment: Employed full time
Occupation: Plant and machine operators, and assemblers (those who maintain, operate and monitor industrial and agricultural machinery and equipment)
Mother's occupation: Plant and machine operators, and assemblers (those who maintain, operate and monitor industrial and agricultural machinery and equipment)
Father's occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Hobbies: Listen to rock/indie music;Other (Please specify) Reading, writing
Devices used daily: Laptop;Smartphone;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
NLP tools they would find useful: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT 
LLM use cases: Brainstorming;Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Learning (e.g., explaining complex concepts in simple terms);Get information about current events;Answering questions about general knowledge;Collecting references;Summarizing long texts 
Contexts of LLM use: Work;Learning;Personal 
Prompt 1: I am having a lot of trouble trying to delete my payment info from facebook. Can you help with that? 
Prompt 2: What is another way of saying the phrase   Just tossing a bunch of stuff in the air hoping some of it sticks 
Prompt 3: what is a word for something that seems meaningless
Prompt 4: Can you give me some examples where ranked-choice voting has been successful?  Start within the US but ill accept other countries as well. then list the benefits and how it would be good for the US
Prompt 5: When you reply to me do you use empathetic mirroring? Is that part of your code? 
Prompt 6: Her stories never fail to be captivating and edifying.   Could that sentence be polished a bit or is it good as it stands? 
Prompt 7: Can you tell me why so many science journals are seeing mass resignations? 
Prompt 8: If you added up all the money from every billionaire in the United States and split it between every American over the age of 18 how much would each person get? 
Prompt 9: What is your primary goal when answering questions? 
Prompt 10: How much money can I make in Indiana and still claim full unemployment benefits?